You can see the latest product updates for all of Google Cloud on the Google Cloud page, browse and filter all release notes in the Google Cloud console, or programmatically access release notes in BigQuery.
March 18, 2025
Generally available: The A4 accelerator-optimized machine type is now generally available. A4 VMs are powered by NVIDIA B200 GPUs and provide up to 3x performance of previous GPU machine types for most GPU accelerated workloads. A4 is especially recommended for ML training workloads at large scales. A4 is available in the following region and zone:
- Council Bluffs, Iowa:
us-central1-b
When provisioning A4 machine types, you can use Hypercompute Cluster to request capacity and create VMs or clusters. To get started see Overview of creating VMs and clusters.
Software stack updates
The following new Docker images are also released to support workloads running on your A4 GKE clusters that are deployed using Hypercompute Cluster.
- NeMo docker image:
nemo25.02-gib1.0.5-A4 - MaxText docker image:
jax-maxtext-gpu:jax0.5.1-cuda_dl25.02-rev1-maxtext-20150317
For more information, see AI Hypercomputer images.
December 31, 2024
Generally available: The A3 Ultra accelerator-optimized machine type is now generally available. A3 Ultra VMs are powered by NVIDIA H200 Tensor Core GPUs and support the new Titanium ML network adapter, which delivers non-blocking 3.2 Tbps of GPU-to-GPU traffic with RDMA over Converged Ethernet (RoCE). A3 Ultra VMs are ideal for foundation ML model training and serving. The A3 Ultra machine type is available in the following region and zone:
- St. Ghislain, Belgium, Europe -
europe-west1-b
When provisioning A3 Ultra machine types, you must use Hypercompute Cluster to request capacity and create VMs or clusters. To get started see Overview of creating VMs and clusters in the AI Hypercomputer documentation.
Preview: Hypercompute Cluster is now available in preview. With Hypercompute Cluster, you can streamline the provisioning of up to tens of thousands of A3 Ultra accelerator-optimized machines.
With features such as dense co-location of resources, ultra-low latency networking, targeted workload placement, and advanced maintenance controls to minimize workload disruptions, Hypercompute Cluster is built to deliver exceptional performance and resilience, so you can run your most demanding AI, ML, and HPC workloads with confidence.
To get started, review the overview for VM and cluster creation.